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Latest news from LinkedData.Center
  • Amlet selected by IBM Hyper Protect Accelerator Today (15/09/2020), during the IBM Z Day, It was officially announced that our Amlet project has been selected by the IBM Hyper Protect Accelerator for 2021 as one #2 of most promising 15  projects in the world,  and #1 in Europe. Amlo was admitted to Cohort 2 program in San Francisco Accelerator.Amlet is a part the Mopso product suite devoted to AML that is able to automate the Customer Due Diligence process throw innovative cryptographic, privacy preserving algorithms.
    Posted Sep 16, 2020, 7:17 AM by Enrico Fagnoni
  • Anassimene, the third generation of SDaaS is ready 2020.06.05 today LinkedData.Center labs announce the pre release on SDaaS platform, Two times faster and smart than the previous version.Anassimene is used in Mopso Brain and Mopso Net products
    Posted Jun 6, 2020, 5:52 AM by Enrico Fagnoni
  • mopso selected by mps mopso has been selected for the OfficinaMPS open banking initiative, the permanent laboratory of Banca Monte dei Paschi di Siena dedicated to innovation.Read more....
    Posted Apr 4, 2020, 6:18 AM by Enrico Fagnoni
  • the MOPSO project started 2020-01-02 The mopso project published
    Posted Apr 4, 2020, 6:13 AM by Enrico Fagnoni
  • Watch out for the robot's error The result obtained from an algorithm based on neural networks cannot be explained. Moreover, it always has a statistical error, which is often also quantifiable.Lack of proof is the fundamental difference between neural networks and other A.I. tools like, for example, the inferential systems based on the open world assumption (i.e. rules systems that are tolerant of any lack of information). Such kind of A.I. systems, unlike neural networks, are always able to motivate their choices. The Semantic Web is the most known example.The prevailing trend collapses the whole  A.I. ​​on machine learning only  (in particular on neural networks), but there are many ways of doing things. The technique of making a machine learn ...
    Posted Jun 7, 2019, 7:31 AM by Enrico Fagnoni
  • Machine Learning: oh yeah? Recently, someone starts to speak about the training of AI models while maintaining learning data privacy (e.g. "A Demonstration of Sterling: A Privacy-Preserving Data Marketplace" Nick Hynes, David Dao, David Yan, Raymond Cheng, Dawn Song VLDB Demo 2018. )In my opinion, the ML model creation makes sense only on public data sets or, in any case, on data verifiable by those who will use the model obtained from them. Otherwise, the results are indistinguishable from random values that should be revalidated experimentally on each update of the model.Using a "black box" model is a total act of faith. We fall into the "reputational" scheme where the crowd decides what is right and what is wrong without having ...
    Posted May 17, 2019, 1:54 AM by Enrico Fagnoni
  • Re-thinking applications in the edge computing era The EU GDPR directive was a cornerstone in Information Society. More or less, it states that the ownership of data is an inalienable right of the data producer; before GDPR the data ownership was something marketable. Now, to use some else data, you need always get permissions that can be revoked anytime. Beside this, IoT requires more and more local data processing driving the edge computing paradigm.Recent specifications like SOLID and IPFS promise radical but practical solutions to move toward a real data distribution paradigm, trying to restore the original objective of the web:  knowledge sharing. This view, where each person/machine has full control of his data, contrasts with the centralized application data architecture used by the majority ...
    Posted Mar 18, 2019, 2:18 AM by Enrico Fagnoni
  • Introducing the Financial Report Vocabulary The Financial Report Vocabulary (FR) is an OWL vocabulary to describe a generic financial report.The FR vocabulary can be used to capture different perspectives of report data like historical trends, cross-department, and component breakdown.FR extends the W3C RDF Data Cube Vocabulary and it is inspired by the Financial Report Semantics and Dynamics Theory.Read more on the GitHub repository
    Posted Feb 19, 2019, 7:33 AM by Enrico Fagnoni
  • New KEES specifications In order to let computers to work for us, they must understand data: not just the grammar and the syntax, but the real meaning of things.KEES (Knowledge Exchange Engine Service) proposes some specifications to describe a domain knowledge in order to make it tradeable and shareable.KEES allows to formalize and license:how to collect the right data,how much you can trust in your data,what new information you can deduct from the collected data,how to answer specific questions using dataA.I. and humans can use these know hows to reuse and enrich existing knowledge. KEES is a Semantic Web Application.
    Posted Feb 19, 2019, 7:27 AM by Enrico Fagnoni
  • Released µSilex µSilex (aka micro Silex) is a micro framework inspired by Pimple and PSR standards. All with less than 100 lines of code!µSilex is a try to build a standard middleware framework for developing micro-services and APIs endpoints that require maximum performances with a minimum of memory footprint.Middleware is now a very popular topic in the developer community, The idea behind it is “wrapping” your application logic with additional request processing logic, and then chaining as much of those wrappers as you like. So when your server receives a request, it would be first processed by your middlewares, and then after you generate a response it will also be processed by the same set:It may sound complicated ...
    Posted Feb 19, 2019, 7:12 AM by Enrico Fagnoni
  • SDaaS community edition released A simplified version of LinkedData.Center SDaaS™ platform was released with an open source model.Fork it from GITHUB or try it in this 10 minute tutorial.
    Posted Sep 18, 2018, 1:22 AM by Enrico Fagnoni
  • Metaphors, Models, and Theories Because most  software developers are not familiar with using “formal theories” it is worth explaining what a theory is. In his book, “Models. Behaving. Badly.”,  Emanual Derman explains the differences between metaphors, models, and theories.A metaphor describes something less understandable by relating it to something more understandable.A model is a specimen that exemplifies the ideal qualities of something. Models tend to simplify. There tend to always be gaps between models and reality. Models are analogies; they tend to describe one thing relative to something else. Models need a defense or an explanation.A theory describes absolutes. Theories are the real thing. A theory describes the object of its focus. A theory does not simplify. Theories are irreducible, the ...
    Posted Sep 1, 2018, 12:00 AM by Enrico Fagnoni
  • Linked Data in Robotics and Industry 4.0 Industry 4.0 is a collective term (created in Germany) for the technological concepts of cyber-physical systems, the Internet of Things and the Internet of Services, leading to the vision of the Smart Factory. Within a modular structured Smart Factory, cyber-physical systems monitor physical processes, and make decentralized decisions. Over the Internet of Things, cyber-physical systems communicate and cooperate with each other and humans in real time. In addition, one of the aims in robotics is to build smarter robots that can communicate, collaborate and operate more naturally and safely. Increasing a robot’s knowledge and intelligence is a vital for the successful implementation of Industry 4.0, since traditional approaches are not flexible enough to respond ...
    Posted Mar 27, 2018, 10:32 AM by Enrico Fagnoni
  • China’s next Generation Artificial Intelligence Development Plan The rapid development of artificial intelligence (AI) will profoundly change human society and life and change the world. To seize the major strategic opportunity for the development of AI, to build China’s first-mover advantage in the development of AI, to accelerate the construction of an innovative nation and global power in science and technology, in accordance with the requirements of the CCP Central Committee and the State Council, this plan has been formulated.Download the translationRelated articles: credits: ...
    Posted Mar 19, 2018, 2:44 AM by Enrico Fagnoni
  • Come sopravvivere al digital marketing Sono molteplici e diverse le componenti che si combinano per creare le nuove professioni su internet.LinkedData.Center in collaborazione con il Comune di Lecco presenta il primo di due incontri gratuiti per conoscere le evoluzioni del Digital Marketing e le opportunità degli open data.Giovedi 15 marzo 2018 ore 21:00 - Informagiovani - Via dell’Eremo 28 a LeccoSlides primo inccontro Slides 2o giorno 
    Posted Mar 20, 2018, 10:56 AM by Enrico Fagnoni
  • Ambasciatori della cultura e della legalità Tecnologie e informatica per il contrasto dell’illegalità e della criminalità nel mondo dell’impresa e del lavoro. Giustizia “(inter)connessa”Venerdì 9 marzo 2018 ore 10:00 - Camera di Commercio di Lecco, Auditorium - Casa dell’Economia Via Tonale 28,30Quali sono le sfide dell’organizzazione della giustizia che provengono dalla globalizzazione e dalla rivoluzione tecnologica in atto? Le barriere fisiche/geografiche/statuali tendono a perdere di significatività in maniera sempre più rapida; aumenta la possibilità di spostare, in modo rapidissimo – fisico e virtuale – flussi di persone, beni e soprattutto denaro. Come deve attrezzarsi l’organizzazione della giustizia per stare al passo con i tempi? Come cambiano le strategie della criminalità organizzata, anche a livello di penetrazione nel tessuto ...
    Posted Mar 6, 2018, 3:03 AM by Enrico Fagnoni
  • Per un’economia basata sulla condivisione della conoscenza CONFERENZA PUBBLICA SCUOLA E IMPRESA SI INCONTRANO UN MODELLO VIRTUOSO DI SVILUPPO VENERDÌ 22 SETTEMBRE 2017 ORE 17,30 GRANAIO VILLA GREPPI VIA MONTE GRAPPA 21, MONTICELLO BRIANZA (LECCO)Registrazione video parte 1Registrazione video parte 2Registrazione video parte 3registrazioni a cura della Fondazione Bassetti La conferenza, ad ingresso libero,  presenta CodeVision, DataRecipe e DataChef, tre start-up innovative nate da tre studenti della classe 5A dell'Istituto Greppi di Monticello coordinata dal prof. Gennaro Malafronte.  LinkedData.Center finanzierà le iniziative consentendo ai neo-imprenditori di sviluppare ulteriormente le loro idee e, nel contempo, di frequentare la facoltà di Ingegneria.  LinkedData.Center metterà a disposizione delle tre startup il proprio campus a Esino Lario, il Consorzio Brianteo ...
    Posted Mar 4, 2018, 9:56 AM by Enrico Fagnoni
  • Virtuosismi @ LinkedData.Center Open Labs Giovedì 6 luglio, a conclusione del workshop “Entrepreneurship 101: How to Start & Grow a Business from Scratch”, i laboratori di LinkedData.Center hanno avuto l’onore di ospitare Alessandro Castelli, che ha eseguito alcuni pezzi di musica contemporanea espressamente scritti per lui e la Sequenza V per trombone solo di Berio.Il concerto è stato registrato su master analogico utilizzando registratore a bobine originale Revox A700.Note biografiche:Alessandro Castelli è nato il 01 settembre 1971 a Merate (CO).Si è diplomato l'11 luglio 1992 in Trombone sotto la guida del M° Giancarlo Corsini, presso l'Istituto Musicale Pareggiato ''Gaetano Donizetti'' di Bergamo. Ha studiato inoltre con diversi trombonisti di fama internazionale.Attualmente affianca allo studio del trombone quello ...
    Posted Nov 6, 2017, 1:50 AM by Enrico Fagnoni
  • Entrepreneurship 101: How to Start & Grow a Business from Scratch     In a 3-days of hard work, sleepless nights and intense coaching, the CEO of LinkedData.Center shared his personal recipe for the success.From Tuesday 4 July until Thursday, the 3 young founders of the spin-off of the project lodmap Leonardo Longhi, Yassine Ouahidi, and Miah Mohd Ehtesham together with other selected high-potential wannabe startuppers populated the LinkedData.Center Open Campus with their energy and their ideas.
    Posted Jul 24, 2017, 12:45 PM by Francesco Fagnoni
  • It's time for ethics in artificial intelligence programming? Much attention has rightfully been given about how to the AI industry might transmit existing negative biases into the myriad of artificially intelligent systems that are now being built.Bias typically arrives along with real world data; as long as our society exhibits negative biases, we’ll see these reflected in the data we collect. Eliminate such bias from the dataset is unrealistic.There is another option. Today we can build AI that reinforces positive attributes a reality through programmatic product design choices, it isn't easy, but it is possible. This means introducing ethics in programming. Should be this desirable? Who will decide?Food for thought.See the article by  Matthew Hutson "Even artificial intelligence can acquire biases against ...
    Posted Jun 28, 2017, 2:13 AM by Chiara Casalino
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